{"title":"一种基于向量空间和矩阵代数的图像压缩算法","authors":"H. Kuroda, Tianxing Liu","doi":"10.1109/ICOSP.1998.770795","DOIUrl":null,"url":null,"abstract":"We present a picture compression algorithm based on linear transformation, vector space and matrix algebra. We consider the picture as the matrix in this algorithm. The picture compression is realized by means of simplifying the picture matrix. To achieve this aim, the vector groups in the picture submatrix are restructured according to the relation of linear dependence or linear independence among them. After the keyword parameters of the algorithm are adjusted, it is fit for compressing static and dynamic pictures.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An image compressing algorithm based on vector space and algebra of matrix\",\"authors\":\"H. Kuroda, Tianxing Liu\",\"doi\":\"10.1109/ICOSP.1998.770795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a picture compression algorithm based on linear transformation, vector space and matrix algebra. We consider the picture as the matrix in this algorithm. The picture compression is realized by means of simplifying the picture matrix. To achieve this aim, the vector groups in the picture submatrix are restructured according to the relation of linear dependence or linear independence among them. After the keyword parameters of the algorithm are adjusted, it is fit for compressing static and dynamic pictures.\",\"PeriodicalId\":145700,\"journal\":{\"name\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"volume\":\"2016 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.1998.770795\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.1998.770795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An image compressing algorithm based on vector space and algebra of matrix
We present a picture compression algorithm based on linear transformation, vector space and matrix algebra. We consider the picture as the matrix in this algorithm. The picture compression is realized by means of simplifying the picture matrix. To achieve this aim, the vector groups in the picture submatrix are restructured according to the relation of linear dependence or linear independence among them. After the keyword parameters of the algorithm are adjusted, it is fit for compressing static and dynamic pictures.